Jaideep Moitra

36 papers receiving 2.6k citations

Jaideep Moitra's Hit Papers

Life without white fat: a transgenic mouse 1998 · 654 citations
6540+9+18Years since publication200400600

Peers

Jaideep Moitra
Comparison fields: 5 of 112
  • Physiology 767
  • Endocrine and Autonomic Systems 163
  • Biochemistry 151
  • Molecular Biology 1.3k
  • Epidemiology 525
Replace Kazuya Yamada with:
Kazuya Yamada Japan
Tae‐Hwa Chun United States
Masayuki Tsujisaki Japan
Sharon Lim Sweden
Rongli Zhang China
Yasuko Kureishi Japan
Yasushi Matsuki Japan
Jeffrey R. Jacobson United States
Sarah A. Gebb United States
Philip L.S.M. Gordts United States
Jaideep Moitra relative to Kazuya Yamada Japan Kazuya Yamada's profile →
Citations per field
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Kazuya Yamada · 1×
Citations per year

Countries citing papers authored by Jaideep Moitra

Since Specialization
Citations

This map shows the geographic impact of Jaideep Moitra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jaideep Moitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaideep Moitra more than expected).

Fields of papers citing papers by Jaideep Moitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaideep Moitra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jaideep Moitra. The network helps show where Jaideep Moitra may publish in the future.

Co-authors

The 25 scholars most cited alongside Jaideep Moitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaideep Moitra Line = papers co-authored together Jaideep Moitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Life without white fat: a transgenic mouse
Hit paper breakdown →
1998654
2 2000323
3 2009141
4 1997128
5 2006116
6 2008109
7 2007109
8 200796
9 201188
10 200279
11 200675
12 200772
13 199968
14 201065
15 200660
16 199753
17 200951
18 201241
19 201340
20 201040

About Jaideep Moitra

Jaideep Moitra is a scholar working on Molecular Biology, Physiology, Immunology, Cell Biology and Epidemiology, having authored 36 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Adipose Tissue and Metabolism (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Immune Response and Inflammation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Caveolin-1 and cellular processes (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Physiology (767 citations), Endocrine and Autonomic Systems (163 citations), Biochemistry (151 citations), Molecular Biology (1.3k citations) and Epidemiology (525 citations). Jaideep Moitra has collaborated with scholars based in United States, Hungary and Spain. Frequent co-authors include Charles Vinson, Joe G. N. Garcia, Oksana Gavrilova, Marc L. Reitman, Bernice Marcus‐Samuels, Mark Mason, Dmitry Krylov, Saad Sammani, Michael Eckhaus and Lionel Feigenbaum. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Respiratory Cell and Molecular Biology, Translational research, American Journal of Physiology-Lung Cellular and Molecular Physiology and Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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